Sentence examples for multiple regression modelling from inspiring English sources

*P value of ≤0.10 used to identify potential predictor variables for multiple regression modelling.

To identify potential predictors of extension failure, explanatory variables were screened for inclusion in multiple regression modelling.

Table 3 presents the results of the multiple regression, modelling the effects of providing care on the different functionality domains and the overall disability score.

The comparison of the results of multiple regression modelling performed on the non-imputed data set and pooled results of the analysis on data sets resulting from multiple imputation did not show essential differences.

In order to identify effective components or partial goals that should be targeted in aftercare exercise programs, the time varying influence of secondary outcomes on the primary outcomes in the different treatments is modelled by multiple regression modelling.

A within context analysis, therefore, produces more valid measures of association than a between context analysis, the latter being confounded by unmeasured factors not controllable by traditional multiple regression modelling.

The general form of the multiple regression model is y = β0 + β1x1 + β2x2 +... + βpxp + ε.

A multiple regression model is used as statistical tool.

A multiple regression model was used for RT predictions.

The contributions using multiple regression models are higher than are the ones for single regression models.

Ordinal regression was used to confirm the results from the standard multiple regression model.